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: Developing adaptive haptic training strategies that help operators refine their skills through real-time skill estimation, multimodal feedback, and tailored trajectory guidance. Enhancing Robot Autonomy
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Community Code (IAC3, http://iac3.uib.es ) is seeking scientific software developers to join our team and contribute to computational activities within the Veni research programme (Veni.222.396) supported by
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
and data-driven procedures for pointwise and/or credibility interval estimation of epidemiological indicators, e.g., for the reproduction number R(t) of Covid19. Elaborating on a recent epidemiological
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the processing of visual and sensor data in distributed systems, and applying artificial intelligence methods in the analysis of image data. Experience in applying VR/AR/XR technologies in visual systems and
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are seeking to recruit a Senior Research Fellow to work on the development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected
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problem aims at estimating model parameters from input data, having access to a model describing how to generate the observations if the parameters to estimate were known. For instance, in optical remote
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estimates, and collaborating with various billing departments, specialty clinics, hospitals, and health centers on all related billing concerns. Works independently and efficiently to assist families
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Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline. Strong interest in 3D computer vision and machine learning methods
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
://welcome.isr.tecnico.ulisboa.pt/opportunities/ Where to apply Website https://welcome.isr.tecnico.ulisboa.pt/opportunities/ Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent
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Website https://www.inesctec.pt/en/opportunity/AE2025-0570 Requirements Specific Requirements Academic qualifications: Currently enrolled in an ongoin Bachelor's degree in Computer Engineering or Electrical